Publication:
Received signal modeling and BER analysis for molecular SISO communications

dc.contributor.coauthorDas, A.
dc.contributor.coauthorRunwal, B.
dc.contributor.coauthorBaydaş, O.T.
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.kuauthorÇetinkaya, Oktay
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T13:19:21Z
dc.date.issued2022
dc.description.abstractA well-modeled molecular communication (MC) channel is crucial for the development of required equipment. Previous models, however, have often considered ideal receivers with perfect absorption, which resulted in impractical results. Here, we propose an improved model consisting of a partially absorbing receiver with four unique parameters, whose values are determined using Particle Swarm Optimization (PSO). We evaluate the Root Mean Square Error (RMSE) performance of our model in the estimated received molecules, which shows consistent results for different transmitter-to-receiver distances or receiver radii, besides a five times improvement in the cumulative number of received molecules compared to that of previous models. We also consider two new Concentration Shift Keying (CSK) modulation schemes, in addition to typical ones, and analyze the trend of Bit Error Rate (BER) and detection threshold for these schemes at different channel lengths. Finally, we investigate the feasibility of Hamming code correction on these schemes and show that the third-order Hamming-corrected BCSK (Binary CSK) modulation is the best for the proposed SISO model.
dc.description.fulltextYES
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThis work was supported by the AXA Research Fund (AXA Chair for Internet of Everything at Koç University).
dc.description.versionPublisher version
dc.identifier.doi10.1145/3558583.3558854
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR04050
dc.identifier.isbn9781450398671
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85139821688
dc.identifier.urihttps://doi.org/10.1145/3558583.3558854
dc.keywordsConcentration shift keying
dc.keywordsHamming code correction
dc.keywordsMolecular communication
dc.keywordsPartially absorbing receiver
dc.keywordsParticle swarm optimization
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.grantnoNA
dc.relation.ispartofNANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10924
dc.subjectEngineering
dc.titleReceived signal modeling and BER analysis for molecular SISO communications
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorAkan, Özgür Barış
local.contributor.kuauthorÇetinkaya, Oktay
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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